Identification of working memory status in children from EEG signal features using discrete wavelet transform

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Identification of working memory status in children from EEG signal features using discrete wavelet transform

The conventional method for assessing the working memory performance of children is time-consuming and potentially inaccurate, especially when dealing with many samples. Therefore, an automated system that can produce swift and accurate results is required. Electroencephalograms (EEG) can be used to...

书目详细资料
发表在:	Telkomnika (Telecommunication Computing Electronics and Control)
主要作者:	Azlan M.H.K.; Mansor W.; Yassin A.I.M.; Abidin N.A.Z.; Azhan M.N.M.; Jahidin A.H.; Rozlan M.F.R.M.; Mahmoodin Z.; Ali M.S.A.M.
格式:	文件
语言:	English
出版:	Universitas Ahmad Dahlan 2025
在线阅读:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213442882&doi=10.12928%2fTELKOMNIKA.v23i1.25551&partnerID=40&md5=77d3d7a55f7ffd0d3ae19fdc563dfd0f

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